OLS Regression Results
==============================================================================
Dep. Variable:      CUSTOMER_PURCHASE   R-squared:                       0.010
Model:                            OLS   Adj. R-squared:                  0.008
Method:                 Least Squares   F-statistic:                     5.975
Date:                Sat, 16 Nov 2019   Prob (F-statistic):           7.80e-19
Time:                        12:03:28   Log-Likelihood:                 7634.2
No. Observations:               10582   AIC:                        -1.522e+04
Df Residuals:                   10557   BIC:                        -1.504e+04
Df Model:                          24
Covariance Type:                  HAC
======================================================================================
                         coef    std err          t      P>|t|      [0.025      0.975]
--------------------------------------------------------------------------------------
const                 -0.0104      0.004     -2.488      0.013      -0.019      -0.002
OPEN_PAST_EMAILS      -0.0020      0.002     -0.847      0.397      -0.007       0.003
2                  -9.177e-05      0.003     -0.030      0.976      -0.006       0.006
3                      0.0011      0.002      0.498      0.619      -0.003       0.005
4                      0.0034      0.003      1.356      0.175      -0.002       0.008
5                     -0.0014      0.002     -0.761      0.447      -0.005       0.002
6                      0.0013      0.002      0.770      0.442      -0.002       0.005
7                      0.0029      0.003      0.965      0.335      -0.003       0.009
8                      0.0047      0.003      1.587      0.112      -0.001       0.011
9                      0.0073      0.004      1.840      0.066      -0.000       0.015
10                     0.0127      0.003      5.008      0.000       0.008       0.018
11                     0.0165      0.003      6.557      0.000       0.012       0.021
12                     0.0286      0.004      6.483      0.000       0.020       0.037
GROCERY                0.0128      0.004      3.104      0.002       0.005       0.021
BULK                   0.0090      0.006      1.636      0.102      -0.002       0.020
SEAFOOD               -0.0049      0.004     -1.289      0.197      -0.012       0.003
BEER                  -0.0002      0.005     -0.036      0.972      -0.010       0.010
BUTCHERY               0.0024      0.006      0.402      0.688      -0.009       0.014
DAIRY                  0.0086      0.005      1.847      0.065      -0.001       0.018
PRODUCE                0.0415      0.010      4.243      0.000       0.022       0.061
DELICATESSEN          -0.0101      0.004     -2.270      0.023      -0.019      -0.001
BAKERY                -0.0007      0.004     -0.173      0.862      -0.008       0.007
FROZEN                -0.0014      0.004     -0.370      0.711      -0.009       0.006
MALE                  -0.0036      0.002     -1.548      0.122      -0.008       0.001
ADVERTISING_STRICT     0.0055      0.003      1.626      0.104      -0.001       0.012
==============================================================================
Omnibus:                    14295.721   Durbin-Watson:                   1.989
Prob(Omnibus):                  0.000   Jarque-Bera (JB):          1936003.644
Skew:                           8.095   Prob(JB):                         0.00
Kurtosis:                      67.255   Cond. No.                         61.4
==============================================================================

Warnings:
[1] Standard Errors are heteroscedasticity and autocorrelation robust (HAC) using 1 lags and without small sample correction